Mendes, Jorge, Jácome Cunha, Francisco Duarte, Gregor Engels, João Saraiva, and Stefan Sauer. "
Systematic Spreadsheet Construction Processes."
IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). Raleigh, North Carolina, USA: IEEE, 2017.
Gonçalves, {José Teixeira}, {Cristina Inês} Camus, and {Stanimir Stoyanov} Valtchev. "
Solar thermoelectric system with biomass back-up."
Technological Innovation for Smart Systems - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, Proceedings. IFIP Advances in Information and Communication Technology. Springer New York LLC, 2017. 358-369.
AbstractWith the objective of having a solar thermoelectric system, running for 24 h a day along the different seasons of the year it is necessary to dimension the adequate storage and back-up systems. The choice of the back-up source of energy depends on how sustainable the power plant should be. In this study, the choice was the use of biomass in order to have a 100{%} renewable power plant. The selected site was the Alentejo region (Portugal). The local Direct Normal Irradiation (DNI) data was used to simulate with the System Advisor Model program (SAM) considering a solar system with north field and molten salt storage. The system needs no back-up during three months in a year. The use of biomass pellets is a viable alternative because it makes the power plant 100{%} renewable and dispatchable without loss of energy due to over-dimension of the expensive solar field and molten storage system.
Sallem, Amin, and Pedro Pereira. "
Sensitivity Analysis in the Optimization of Analog Active Filters by Applying the Richardson Extrapolation."
Focus on Swarm Intelligence Research and Applications. Eds. Bachir Benhala, Pedro Pereira, and Amin Sallem. Nova Science Publishers, 2017. 247-275.
AbstractThe key step of the analog active filter design is the optimal selection of component values due to manufactured series (E12, E24, E48, E96 and E192). In this paper, four simulation-based metaheuristics are applied to optimize four active filters using commercials available ICs as building blocks. The emphasis of this work is applying Richardson extrapolation-based sensitivity analysis in the optimization process of analog active filters. Indeed, Richardson extrapolation technique facilitates the calculation of the partial derivatives for the sensitivity using the simulation-based evaluation, without an explicit mathematical expression. Viability and benefits of the sensitivity analysis are highlighted. Monte Carlo analysis is performed in order to investigate robustness of the proposed sensitivity analysis of the active filters in case of component value variations due to specified tolerances of manufactured series.